Triple
T15305675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craft Freemasonry |
E365891
|
entity |
| Predicate | hasNumberOfSymbolicDegrees |
P118043
|
FINISHED |
| Object | 3 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 3 | Statement: [Craft Freemasonry, hasNumberOfSymbolicDegrees, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSymbolicDegrees Context triple: [Craft Freemasonry, hasNumberOfSymbolicDegrees, 3]
-
A.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
B.
supportsSymbolicPolynomials
Indicates that an entity is capable of handling or operating on polynomials represented symbolically rather than as purely numeric values.
-
C.
hasNumberOfDegrees
Indicates the quantity of academic degrees that an entity possesses.
-
D.
numberOfIndependentEquations
Indicates the count of distinct, non-redundant equations that independently constrain or relate the variables in a system.
-
E.
hasDegreeOfFreedom
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.